🛠️ ProductivePyton

ProductivePyton is a suite of lightweight command-line tools for bulk image processing and optimization. It includes:

• 📍 BulkGeoTagger — Geotags images by folder-based city names using embedded GPS metadata.
• 📷 BulkCompressor — Compresses, resizes, and optionally converts images to WebP format with target file size control.

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📁 Tools Included

📍 BulkGeoTagger

Auto-tag your images by location.

Usage:

1. Add folders named after cities (e.g. phoenix, mesa)
2. Make sure city_coords.json matches folder names:

{
  "phoenix": [33.4484, -112.0740],
  "mesa": [33.4152, -111.8315]
}

3. Run:

python geo_tag_images.py

Or use the prebuilt .exe (Windows only).

📂 Your image structure should look like:

/phoenix/photo1.jpg
/mesa/photo2.jpg

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📷 BulkCompressor

Resize, compress, and optionally convert images to WebP.

Features:

• Resizes images wider than 1920px
• Compresses to a user-defined file size
• Optional .webp conversion
• Zips final output

Usage:

python resize_images.py

You’ll be prompted for:

• Desired file size in KB
• WebP conversion option

Input images must go in the /input directory. Output is saved to /output.

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💾 Folder Structure

ProductivePyton/
├── src/
│   ├── geotag/
│   │   ├── geo_tag_images.py
│   │   ├── city_coords.json
│   ├── resize/
│   │   └── resize_images.py
├── dist/                        # Windows executables
├── releases/                   # Zip release bundles

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📦 Dependencies

Install required Python packages:

pip install Pillow piexif

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👤 Author

Made by Jacob Elias Moya
Built for efficient image prep at scale.

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📄 License

MIT License — free to use, modify, and distribute.